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LinkedIn Learning

SAS Essential Training: 1 Descriptive Analysis for Healthcare Research

via LinkedIn Learning

Overview

Explore the fundamentals of SAS as you learn how to conduct a descriptive analysis of a health survey dataset.

After literally decades on the scene, SAS is still an industry leader in the world of big data. If healthcare analytics piques your interest—and you want to get up and running with this venerable data analytics platform—then this course is for you. Join instructor Monika Wahi as she steps through how to conduct a descriptive analysis of a health survey dataset and present the results in plots and tables. Monika covers how to import a dataset from SAS *.xpt format using the XPORT command; edit datasets to add new categorical and continuous variables; conduct chi-square tests, t-tests, and analyses of variance (ANOVAs); generate a descriptive analysis with either a categorical and a continuous dependent variable; and more.

Syllabus

Introduction
  • SAS essential training: Descriptive analysis
  • What you should know
1. Preparing for Analysis
  • BRFSS dataset and documentation
  • Organizing your work
  • Hypotheses for the demonstration
  • Explanation of SAS XPT
  • Reading in SAS XPT file
  • KEEP and DROP commands
  • Reviewing confounders
2. Applying Exclusions
  • Alternatives to labels and formats
  • Using PROC FREQ to prepare
  • Removing rows by categorical criteria
  • Removing rows by continuous criteria
  • Removing rows where values are missing
  • Observations from the log file
  • Updating data reduction documentation
3. Developing the Analytic Dataset
  • Recoding a grouped variable
  • Recoding the smoking variable
  • Creating flags: Indicator variables
  • Grouping a continuous variable
  • Cleaning a continuous variable
  • Completing the analytic dataset
4. Helpful Plots
  • Bar chart
  • Pie chart
  • Histogram
  • Box and whisker plot
  • Scatter plot
5. Categorical Descriptive Analysis
  • Choosing an analytic approach
  • Creating a categorical table shell
  • PROC FREQ with options
  • Putting results in a table
  • Chi-square and Fisher’s exact tests
6. Continuous Descriptive Analysis
  • Normal plot
  • Creating a continuous table shell
  • PROC SORT and PROC UNIVARIATE
  • Transferring continuous results to a table
  • Conducting t-tests
  • Conducting one-way ANOVAs
7. Alternative Approaches to Descriptive Analysis
  • Tricks in Excel
  • PROC TABULATE for categorical analysis
  • PROC TABULATE for continuous analysis
  • Explanation of the ODS
  • Example of ODS and PROC FREQ
  • Example of ODS with PROC UNIVARIATE
8. Tips and Tricks
  • Using weights with PROC FREQ
  • Recoding into quartiles
  • Creating an index variable
  • Using the Import wizard
  • Sorting and merging
  • Introduction to PROC SQL
Conclusion
  • Review of the process
  • Next steps

Taught by

Monika Wahi

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